Ross ROSS = Recommend OSS · open-source software intelligence for agents

apple/embedding-atlas

Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata. observed · 2026-08-28

github.com/apple/embedding-atlas · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

86/100

  • Activity 99
  • Release rhythm 98
  • Longevity 34
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 20
  • age_days: 484
  • days_rel: 14
  • days_push: 7
  • n_releases_24m: 22

Full methodology

Adoption not part of the score

4921 stars · 321 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Embedding Atlas is an open-source tool from Apple for interactive visualization of large embeddings and their metadata, supporting clustering, density contours, real-time nearest-neighbor search, and cross-filterable dashboards rendered with WebGPU. It ships as a Python CLI and Jupyter widget plus npm components for React and Svelte, and exposes an MCP server so AI agents can query and chart the data.

Use cases

  • visualize a few million embeddings interactively in the browser
  • explore clusters and outliers in embedding datasets with density contours
  • find nearest neighbors for a query embedding in real time
  • build cross-filtered dashboards over tabular metadata alongside embeddings
  • inspect text, image, and audio data points inside an embedding projection
  • let AI agents explore and chart a dataset via MCP
  • embed an embedding visualization widget in a Jupyter notebook

When to choose

  • you need to explore or debug large embedding collections (e.g., from LLM or ML pipelines)
  • you want interactive clustering, search, and cross-filtering without building custom tooling
  • you need a notebook widget or reusable React/Svelte components for embedding views
  • your datasets scale to millions of points and need GPU-accelerated rendering

When to avoid

  • you need general-purpose BI dashboards without embeddings
  • you require a production analytics database or long-term data storage rather than an exploration tool
  • your environment lacks WebGPU-capable browsers for large-scale rendering

Facets

application · maturity active

data-visualization search-engine machine-learning mcp cli data-visualization machine-learning large-language-models data-science developer-tools cli python cross-platform embeddings webgpu nearest-neighbors clustering jupyter-widget cross-filtering react-components svelte-components web-server nodejs

3 sources

Member repositories

RepositoryRoleHealth v2
apple/embedding-atlasmain86

For agents

markdown · JSON · MCP: product_card(name="apple/embedding-atlas")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem